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Analyze » Retail Merchandising Services, Inc. » RET1774103057

Incident Score: Analysis & Impact (RET1774103057)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-88
Company Score Before Incident773 / 1000
Company Score After Incident685 / 1000
Company LinkView Retail Merchandising Services, Inc. Profile
INCIDENT NUMBERRET1774103057
Type of Cyber IncidentBreach
ATTACK VECTORUnauthorized Access
DATA EXPOSEDPersonally Identifiable Information (PII)
INCIDENT DATE19/03/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Retail Merchandising Services, Inc.'s Breach and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Retail Merchandising Services, Inc. Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Retail Merchandising Services, Inc. breach identified under incident ID RET1774103057.

The analysis begins with a detailed overview of Retail Merchandising Services, Inc.'s information like the linkedin page: https://www.linkedin.com/company/retail-merchandising-services, the number of followers: 6444, the industry type: Retail and the number of employees: 803 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 773 and after the incident was 685 with a difference of -88 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Retail Merchandising Services, Inc. and their customers.

On 20 March 2026, Retail Merchandising Services (RMS) disclosed Data Breach issues under the banner "RMS Data Breach Exposes Personal Information of Over 16,000 Individuals".

Retail Merchandising Services (RMS), a Pittsburgh-based company specializing in retail inventory management, disclosed a cybersecurity incident that compromised the personal data of more than 16,000 individuals.

The disruption is felt across the environment, affecting RMS’s network, and exposing Personally Identifiable Information (PII), with nearly 16000 records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to RMS’s network and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating persistent vulnerabilities in third-party service providers. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating exposing sensitive PII including Social Security numbers and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating unauthorized access to RMS’s network. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating compromised the personal data of more than 16,000 individuals and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating names paired with Social Security numbers, dates of birth. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating potentially exposing sensitive PII and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating no details on methods used by unauthorized actor. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on timeline of the attack and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high identity theft risk and payment information risk. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (70%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (60%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (40%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)

Sources & References